Graph and download economic data for Number of Bank Branches for United States (DDAI02USA643NWDB) from 2004 to 2019 about banks, depository institutions, and USA.

The estimated number of banks and thrifts in the United States fell from around ****** in 1920 to ****** in 1929, when the onset of the Great Depression would then see it fall further, below ****** in 1933. This marks a cumulative decline of over ****** banks and thrifts, which is equal to a drop of more than ** percent in 13 years. Tumultuous Twenties Despite the economic prosperity associated with the Roarin' 1920s in the U.S., it was a tumultuous decade in financial terms, with more separate recessions than any other decade. However, the ***** was also privy to frivolous lending policies among many banks, which saw the banking sector collapse in the wake of the Wall Street Crash in 1929. Many banks failed as the Great Depression and unemployment spread across the country, and customers or businesses could not afford to repay their loans. It was only after this financial crisis where the federal government began keeping more stringent and accurate records on its banking sector, therefore precise figures and the reasons behind these bank failures are not always clear. Franklin D. Roosevelt Just two days after assuming office in 1933, Franklin D. Roosevelt drastically declared a bank holiday, and all banks in the country were closed from ******* until ********. This break allowed Congress to pass the Emergency Banking Act on *******, which saw the Federal Reserve provide deposit insurance for all reopened banks thereafter. Through his first fireside chat, Roosevelt then encouraged Americans to re-deposit their money in the banks again, which successfully restored much of the public's faith in the banking system - it is estimated that over half of the cash withdrawn during the Great Depression was then returned to the banks by ********.

Graph and download economic data for Commercial Banks in the U.S. (DISCONTINUED) (USNUM) from Q1 1984 to Q3 2020 about commercial, banks, depository institutions, and USA.

Over the course of the 1920s, the value of money deposited in commercial banks grew at a fairly steady rate, rising from around 19 billion U.S. dollars in 1921 (the initial dip was due to the post-WWI recession), to 25 billion at the end of the decade. However, the onset of the Great Depression saw these figures drop drastically, and the value of deposits fell from around 26 to 16 billion dollars between 1930 and 1933. This was not only due to high unemployment and lower wages, but many Americans also lost faith in the banks during the Depression - many blamed the banks for the Depression as frivolous lending practices had contributed to the Wall Street Crash; banks demanded early repayment of debts and often repossessed the property of those who could not afford to do so (also leading to evictions), and many banks failed after the Crash and were not perceived as safe. It was not until 1936 where deposits in commercial banks returned to their pre-Depression levels, after the Roosevelt administration put a number of safeguards in place and helped restore public faith in the American banking system.

In contrast to commercial banks, the total amount of money deposited in savings accounts continued to rise throughout the Great Depression, albeit at a much slower rate than in the 1920s. The reason for continued increase was due to the disproportionate impact the Depression had across socioeconomic groups - most working and middle-class Americans did not have the means to have a savings account

About this dataset

Context

The dataset tabulates the Banks population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Banks. The dataset can be utilized to understand the population distribution of Banks by age. For example, using this dataset, we can identify the largest age group in Banks.

Key observations

The largest age group in Banks, AL was for the group of age 20 to 24 years years with a population of 76 (25.50%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Banks, AL was the 65 to 69 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Banks is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Banks total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Banks Population by Age. You can refer the same here

Graph and download economic data for Other Deposits, All Commercial Banks (ODSACBW027SBOG) from 2009-07-01 to 2025-09-10 about deposits, banks, depository institutions, and USA.

Comprehensive dataset containing 5,713 verified Investment bank businesses in United States with complete contact information, ratings, reviews, and location data.

The Banking Bureau of the Department of Insurance Securities and Banking (DISB) regulates District of Columbia Chartered Banks, mortgage companies, and consumer finance companies. The Bureau strives to ensure a sound and thriving financial services community that provides the products, credit, and capital vital to the needs of District of Columbia residents and businesses. DISB charters and regulates District of Columbia banks and other DC depository financial institutions. DISB also regulates non-depository financial institutions such as mortgage lenders and brokers, money transmitters, consumer finance companies, and check cashers. The data is updated as needed.

The FR 2644 is a balance sheet report that is collected as of each Wednesday from an authorized stratified sample of 875 domestically chartered commercial banks and U.S. branches and agencies of foreign banks. The FR 2644 is the only source of high-frequency data used in the analysis of current banking developments. The FR 2644 collects sample data that are used to estimate universe levels for the entire commercial banking sector in conjunction with data from the quarterly commercial bank Consolidated Reports of Condition and Income (FFIEC 031, FFIEC 041, and FFIEC 051; OMB No. 7100-0036) and the Report of Assets and Liabilities of U.S. Branches and Agencies of Foreign Banks (FFIEC 002; OMB No. 7100-0032) (Call Reports). Data from the FR 2644 and the Call Reports are utilized in construction of weekly estimates of U.S. bank credit, balance sheet data for the U.S. commercial banking sector, and sources and uses of banks' funds, and to analyze current banking developments, including the monitoring of broad credit and funding conditions. The Board publishes the data in aggregate form in the weekly H.8 statistical release, Assets and Liabilities of Commercial Banks in the United States, which is followed closely by other government agencies, the banking industry, financial press, and other users. The H.8 release provides a balance sheet for the commercial banking industry as a whole as well as disaggregated data for three bank groups: large domestically chartered banks, small domestically chartered banks, and U.S. branches and agencies of foreign banks.

The FFIEC 002 is mandated by the International Banking Act (IBA) of 1978. It collects balance sheet and off-balance-sheet information, including detailed supporting schedule items, from all U.S. branches and agencies of foreign banks. The FFIEC 002S collects information on assets and liabilities of any non-U.S. branch that is managed or controlled by a U.S. branch or agency of a foreign bank.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Banks: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 9(1.23%) households where the householder is under 25 years old, 327(44.79%) households with a householder aged between 25 and 44 years, 323(44.25%) households with a householder aged between 45 and 64 years, and 71(9.73%) households where the householder is over 65 years old.
• In Banks, the age group of 25 to 44 years stands out with both the highest median income and the maximum share of households. This alignment suggests a financially stable demographic, indicating an established community with stable careers and higher incomes.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Banks median household income by age. You can refer the same here

Key information about United States Bank Lending Rate

• United States Bank Lending Rate was reported at 7.500 % pa in Mar 2025.
• This stayed constant from the previous number of 7.500 % pa for Mar 2025.
• US Bank Lending Rate data is updated daily, averaging 4.250 % pa from Aug 1955 to 24 Mar 2025, with 25436 observations.
• The data reached an all-time high of 8.500 % pa in 18 Sep 2024 and a record low of 3.250 % pa in 16 Mar 2022.
• US Bank Lending Rate data remains active status in CEIC and is reported by CEIC Data.
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Bank Lending Rate: Daily.

In 2023, the number of data compromises in the financial services industry in the United States reached 744, up from 138 such incidents in 2020. The financial services sector was the second-most targeted industry by cyber security incidents resulting in data compromise. The number of data compromises includes data breaches, as well as exposure and leakage of private data.

Customers Reviews on Banks ⭐️

The Reviews on Banks Dataset is a comprehensive collection of 20,000 the most recent customer reviews on 48 US banks. This dataset containing diverse reviews on multiple banks, can be useful for sentiment analysis, assessing geographical variations in customer satisfaction, and exploring customer preferences through textual data. Understanding customer sentiments and preferences helps banks improve their services and address any issues raised by… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/customers-reviews-on-banks.

United States Domestic Banks: sa: Net Unrealized Gains data was reported at -34.171 USD bn in Jun 2018. This records an increase from the previous number of -37.993 USD bn for May 2018. United States Domestic Banks: sa: Net Unrealized Gains data is updated monthly, averaging 12.720 USD bn from Jul 2009 (Median) to Jun 2018, with 108 observations. The data reached an all-time high of 45.047 USD bn in Oct 2012 and a record low of -37.993 USD bn in May 2018. United States Domestic Banks: sa: Net Unrealized Gains data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.KB006: Balance Sheet: Commercial Banks: Domestic Chartered Commercial Banks: Monthly.

Despite declining numbers and growing challenges, community banks continue to play a crucial role in the banking industry.

United States Dom Banks: Wkly: Net Unrealized Gains data was reported at -32.096 USD bn in 11 Jul 2018. This records an increase from the previous number of -32.687 USD bn for 04 Jul 2018. United States Dom Banks: Wkly: Net Unrealized Gains data is updated weekly, averaging 12.213 USD bn from Jul 2009 (Median) to 11 Jul 2018, with 472 observations. The data reached an all-time high of 46.704 USD bn in 03 Oct 2012 and a record low of -42.803 USD bn in 16 May 2018. United States Dom Banks: Wkly: Net Unrealized Gains data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.KB005: Balance Sheet: Commercial Banks: Domestic Chartered Commercial Banks: Weekly.

Central Bank Balance Sheet in the United States increased to 6608597 USD Million in September 17 from 6605962 USD Million in the previous week. This dataset provides - United States Central Bank Balance Sheet - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Total Assets, All Commercial Banks (TLAACBW027SBOG) from 1973-01-03 to 2025-09-10 about assets, banks, depository institutions, and USA.